Category:Ying Xu of Albion AU
Ying Xu
Ying Xu from Albion AU has applied for patents in technology areas such as G06F16/21, G06F16/2453, G06F40/284 with Oracle International Corporation.
Patents
Pages in category "Ying Xu of Albion AU"
The following 17 pages are in this category, out of 17 total.
1
- 18624472. DIGITAL ASSISTANT USING GENERATIVE ARTIFICIAL INTELLIGENCE (Oracle International Corporation)
- 18798049. DIGITAL ASSISTANT USING GENERATIVE ARTIFICIAL INTELLIGENCE (Oracle International Corporation)
- 18823371. SYSTEM AND METHOD FOR IMPROVING AN END-TO-END AUTOMATIC SPEECH RECOGNITION MODEL (Oracle International Corporation)
- 18885178. ROUTING ENGINE FOR LLM-BASED DIGITAL ASSISTANT (Oracle International Corporation)
- 18885347. CONTEXTUAL QUERY REWRITING (Oracle International Corporation)
- 18885496. MULTI-TASK FINE-TUNING FOR PLANNING PERFORMED BY LARGE LANGUAGE MODEL (Oracle International Corporation)
- 18988114. DISTANCE-BASED LOGIT VALUES FOR NATURAL LANGUAGE PROCESSING (Oracle International Corporation)
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- Oracle International Corporation (20250094390). ROUTING ENGINE FOR LLM-BASED DIGITAL ASSISTANT
- Oracle international corporation (20250094390). ROUTING ENGINE FOR LLM-BASED DIGITAL ASSISTANT
- Oracle international corporation (20250094455). CONTEXTUAL QUERY REWRITING
- Oracle International Corporation (20250094725). DIGITAL ASSISTANT USING GENERATIVE ARTIFICIAL INTELLIGENCE
- Oracle international corporation (20250094725). DIGITAL ASSISTANT USING GENERATIVE ARTIFICIAL INTELLIGENCE
- Oracle International Corporation (20250094733). DIGITAL ASSISTANT USING GENERATIVE ARTIFICIAL INTELLIGENCE
- Oracle international corporation (20250094733). DIGITAL ASSISTANT USING GENERATIVE ARTIFICIAL INTELLIGENCE
- Oracle international corporation (20250094821). MULTI-TASK FINE-TUNING FOR PLANNING PERFORMED BY LARGE LANGUAGE MODEL
- Oracle International Corporation (20250095636). SYSTEM AND METHOD FOR IMPROVING AN END-TO-END AUTOMATIC SPEECH RECOGNITION MODEL
- Oracle international corporation (20250095636). SYSTEM AND METHOD FOR IMPROVING AN END-TO-END AUTOMATIC SPEECH RECOGNITION MODEL